PgCertBiodata Analysis
| Study location | Hungary, Budapest |
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| Academic field | Biological and related sciences (ISCED 051) |
| Type | Postgraduate specialist training, e-learning |
| Nominal duration | 2 semesters (60 ECTS) |
| Study language | English |
| Awards | PgCert |
| Course code | ISTI-ABA |
| Accreditation | FNYF/2022-3/2017 (Hungarian Education Authority) |
| Tuition fee | HUF 1,100,000 per semester |
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| Entry qualification | Undergraduate diploma (or higher) You may apply if you have a BSc or MSc degree in molecular biology, bioinformatics, computer science, bionics or related fields. In addition, a basic knowledge of the sequence, structure and function of biomolecules is also required. If you hold a BSc degree different from the ones listed above, you may also apply and the Admissions Committee will assess your eligibility as part of the admissions procedure. Please upload both your BSc degree and your transcript of records. The entry qualification documents are accepted in the following languages: English / Hungarian. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. Application documents must be uploaded to DreamApply in electronic format. Original copies (and their certified translations in hard copy, if any) will only be required for online enrollment, following a successful admissions procedure. |
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| Language requirements | English In order to successfully complete the Biodata Analysis programme, you need a B2 level of English proficiency. You must have an English language certificate corresponding to B2 level of CEFR (Common European Framework of Languages). The following language exams are accepted: We do not accept Duolingo test results or placement tests taken at your previous university. There are three cases of exemption in which you are not required to submit a language exam certificate: |
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| Other requirements | At least 1 reference(s) should be provided. Please provide the name, position and email address of a professor whom we may contact for reference. You are not required to submit a written letter of reference, the data of a professor is sufficient. |
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| More information |
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Overview
1. PROGRAM OVERVIEW
Join our Online Open Day to find out more about the program and put your questions to the heads of program.
Date: 16 August 2024, 3 pm CET
Registration link: forms.office.com/e/EzCEn7gj35
The program is run fully online.
The vast amount of genomic, transcriptomic and proteomic data from the study of different tissues and, increasingly, individual cells requires the training of professionals who are skilled in many aspects of high-throughput data analysis.
The aim of the program is to train and prepare professionals with expertise in all aspects of biomolecular data management and interpretation to meet the needs of academia and industry.
The program is run by Pázmány University’s Faculty of Information Technology and Bionics (Hungary) and HiDucator Ltd, a Finland-based company specialized to deliver online courses in the fields of bioinformatics, biodata analysis, and biostatistics.
The training will emphasize analysis in the R environment but will also include Python and Java skills.
The key focus areas of the program are:
- biostatistics
- sequence analysis
- structural bioinformatics
- high-throughput genomics
- transcriptomics
- phylogenetics
2. ADMISSIONS PROCEDURE
After the submission of applications, the Admissions Committee will review the submitted documents, with particular focus on the entry qualifications documents.
Eligible applicants wil be invited to an oral interview.
In some cases, the Admissions Committee reserves the right admit applicants based on their entry qualifications.
Programme structure
SEMESTER 1
Subjects offered in Semester 1
- Biological Data Analysis with R (compulsory)
- Biological Databases and Online Analysis Tools (compulsory)
- Genomics, Transcriptomics and Proteomics (compulsory)
- Introduction to Bio-statistics (compulsory)
- Introduction to Programming in Python (compulsory)
- Introduction to Structural Bioinformatics (compulsory)
SEMESTER 2
Subjects offered in Semester 2
- Advanced Structural Bioinformatics (elective)
- Enrichment Analysis (elective)
- Heatmaps for Analyzing Gene Expression Data (elective)
- High Throughput Data Analysis with R (compulsory)
- Java Programming for Bionics (elective)
- Phylogenetics with R (compulsory)
- Sequence Analysis with BioPython (compulsory)
Thesis work (compulsory)
For more detailed information about the subjects and professors, please visit our website at kepzes.itk.ppke.hu/biodataanalysis/